Application of wavelet cumulative energy and artificial neural network for classification of ferroresonance signal during symmetrical and unsymmetrical switching of three-phases distribution transformer

Wahyudi, Mochammad; Negara, I Made Yulistya; Asfani, Dimas Anton; Hernanda, I Gusti Ngurah Satriyadi; Fahmi, Daniar

doi:10.1109/ichveps.2017.8225877

Cited by 6 publications

(1 citation statement)

References 10 publications

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“…By identifying the accumulation of energy at different levels and scales of decomposition, the threshold level for ferroresonance detection is set. In [ 23 , 24 , 25 ], the voltage waveforms, also decomposed through wavelets, are then processed by means of artificial neural networks (ANN). The results given show effectiveness higher than 93%, 95% and 99%.…”

Section: Introductionmentioning

confidence: 99%

Acoustic Noise-Based Detection of Ferroresonance Events in Isolated Neutral Power Systems with Inductive Voltage Transformers

Martínez

Arroyo

Pigazo

et al. 2022

Sensors

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Power-quality events and operation transients in power systems (PS) with isolated neutral can saturate inductive voltage transformers (IVT), which, when interacting with the overhead and underground cable capacitances, can cause ferroresonance events in the local PS. This abnormal operating mode can partially or totally damage the transformers and switchgears within the affected PS. Distribution system operators (DSO) can minimize these effects by detecting ferroresonance events accurately and fast enough and changing the mode of operation accordingly. Direct detection methods, i.e., based on voltage measurements, are reliable, but the massive deployment of this solution is relatively expensive; i.e., power quality analyzers cost thousands of USD. Alternatively, indirect detection methods are also available, e.g., IVT vibration measurements with accelerometers costing hundreds of USD, but their reliability depends on the installation method used. This manuscript proposes using the acoustic noise caused by magnetostriction forces within the IVT core during ferroresonance events to detect their occurrence. Compared to other indirect methods, electret condenser microphones with preamplifying stage cost less than USD 10 and are less sensitive to the installation procedure. The proposed method is validated experimentally, and its performance compared to IVT vibration measurements one by using the same detection methodology.

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Section: Introductionmentioning

confidence: 99%

Acoustic Noise-Based Detection of Ferroresonance Events in Isolated Neutral Power Systems with Inductive Voltage Transformers

Martínez

Arroyo

Pigazo

et al. 2022

Sensors

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Investigation of ferroresonanse phenomena and its possibilities of occurrence in the operation of 6-220 kV electromagnetic transformer

et al. 2021

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Ferroresonance phenomena lead to damage to electromagnetic measuring voltage transformers and nearby equipment. Damping devices and antiresonance transformers, which are used for preventing the occurrence of ferroresonance phenomena, are effective in a certain area of influencing factors. The article presents methods for studying the possibility of occurrence of ferroresonance phenomena in the operation of 6-220 kV voltage transformers based on physical and mathematical modeling. The results of the tests according to the developed method are the area of the existence of a dangerous ferroresonance for the voltage transformer under test or the confirmation of its antiresonance properties in a certain range of influencing factors under study. The article also describes an experimental setup based on RTDS for conducting experimental studies. The developed methods were tested in the studies of one of the types of antiresonance transformers.

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Identification of Ferroresonance on Transformer using Wavelet Transformatio

Negara

Hernanda

Asfani

et al. 2019

2019 2nd International Conference on High Voltage Engineering and Power Systems (ICHVEPS)

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Application of wavelet cumulative energy and artificial neural network for classification of ferroresonance signal during symmetrical and unsymmetrical switching of three-phases distribution transformer

Cited by 6 publications

References 10 publications

Acoustic Noise-Based Detection of Ferroresonance Events in Isolated Neutral Power Systems with Inductive Voltage Transformers

Acoustic Noise-Based Detection of Ferroresonance Events in Isolated Neutral Power Systems with Inductive Voltage Transformers

Investigation of ferroresonanse phenomena and its possibilities of occurrence in the operation of 6-220 kV electromagnetic transformer

Identification of Ferroresonance on Transformer using Wavelet Transformatio

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